ideogram-v3/replace-background
Replace a photo’s background with a new scene using Ideogram 3.
Strength slider (Denoising Strength) to dictate the balance between the original image and the new text prompt. Low values keep it similar; high values create something new.enable_prompt_expansion, useful when you want to restyle an image but lack a detailed description.- Input: A rough black and white drawing.
- Prompt: "Hyper-realistic product photo, 8k resolution."
- Strength: 0.75 (Allows the model to fill in details while ignoring sketch imperfections).
- Input: A real photo of a street.
- Prompt: "Oil painting style, thick brushstrokes, van gogh."
- Strength: 0.6 (Keeps the street layout but changes the texture).
- Input: A generated character.
- Prompt: "Same character, wearing a red suit instead of blue."
- Strength: 0.65.
0.6. If your image isn't changing enough, increase it to 0.75. If the image looks nothing like your input, lower it to 0.45.Portrait in image_size, the model will crop and regenerate the edges to fit. Set to auto or match the input ratio to avoid cropping.Strength levels affect the same image, keep the Seed fixed and only adjust the slider.Replace a photo’s background with a new scene using Ideogram 3.
Redefine creative edits with dual-input precision and adaptive control for design professionals
Advanced image editing model for detailed, consistent visual creation and precise design workflows.
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Fast, photorealistic image repair and refinements for product visuals.
Advanced AI editing merges scenes and styles with precise structure control for designers.
Z Image Turbo Image to Image is a high-performance AI model built for fast and accurate text-based or image-to-image visual generation. It uses a distilled 6-billion parameter S3-DiT architecture that balances speed, bilingual capabilities, and high fidelity across Chinese and English outputs.
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Z Image Turbo Image to Image runs efficiently on GPUs with as little as 16 GB VRAM and supports Apple Silicon via MPS. It’s optimized for enterprise GPUs such as H100/H800, but can also operate smoothly on local or web deployments.
Z Image Turbo Image to Image differentiates itself with its 8-step inference and S3-DiT backbone, allowing faster image generation and more accurate text rendering than many larger or slower models. It retains top-tier quality while being resource-friendly.
Z Image Turbo Image to Image delivers photorealistic images suitable for portraits, product renders, and complex scene compositions. It’s also capable of embedding bilingual text directly and clearly into the generated imagery.
You can access Z Image Turbo Image to Image through the Runcomfy AI playground at runcomfy.com/playground. The tool works well on mobile browsers and supports both logged-in and credit-based usage.
While Z Image Turbo Image to Image achieves excellent quality with reduced latency, the output may vary for highly abstract or unusual prompts. The model focuses on realism and prompt fidelity, so extremely stylized or experimental results may require fine-tuning.
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